Reliable Machine Learning： Applying SRE Principles to ML in Production（Cathy Chen， Niall Richard Murphy， Kranti Parisa， D. Sculley， Todd Underwood）（O’Reilly Media 2022）epub,mobi,azw3,pdf格式kindle电子书下载，作者：

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Reliable Machine Learning： Applying SRE Principles to ML in Production（Cathy Chen， Niall Richard Murphy， Kranti Parisa， D. Sculley， Todd Underwood）（O’Reilly Media 2022）

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书名：Reliable Machine Learning: Applying SRE Principles to ML in Production
出版社：O’Reilly Media
作者：Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood
出版年份：2022
电子书格式： pdf
简介：Dive into the essential practices for building reliable machine learning systems. This book, written by leading experts Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, and Todd Underwood, bridges the gap between machine learning and site reliability engineering (SRE). Learn how to apply SRE principles to address challenges in ML production, including monitoring, alerting, and automation. Gain practical strategies for ensuring the reliability, scalability, and maintainability of your ML models. This O’Reilly guide is a must-read for data scientists, ML engineers, and SRE professionals aiming to deploy and maintain robust ML systems.
ISBN：9781098106225, 10981